Literature DB >> 33659244

Scaffold-Dependent Mechanical and Architectural Cues Guide Osteochondral Defect Healing in silico.

Martina Tortorici1,2, Ansgar Petersen1,3, Klara Ehrhart1,4, Georg N Duda1,2,3, Sara Checa1,2.   

Abstract

Osteochondral defects in joints require surgical intervention to relieve pain and restore function. However, no current treatment enables a complete reconstitution of the articular surface. It is known that both mechanical and biological factors play a key role on osteochondral defect healing, however the underlying principles and how they can be used in the design of treatment strategies remain largely unknown. To unravel the underlying principles of mechanobiology in osteochondral defect healing, i.e., how mechanical stimuli can guide biological tissue formation, we employed a computational approach investigating the scaffold-associated mechanical and architectural properties that would enable a guided defect healing. A previous computer model of the knee joint was further developed to simulate healing of an empty osteochondral defect. Then, scaffolds were implanted in the defect and their architectures and material properties were systematically varied to identify their relevance in osteochondral defect healing. Scaffold mechanical and architectural properties were capable of influencing osteochondral defect healing. Specifically, scaffold material elastic modulus values in the range of cancellous bone (low GPa range) and a scaffold architecture that provided stability, i.e., resistance against displacement, in both the main loading direction and perpendicular to it supported the repair process. The here presented model, despite its simplifications, is regarded as a powerful tool to screen for promising properties of novel scaffold candidates fostering osteochondral defect regeneration prior to their implementation in vivo.
Copyright © 2021 Tortorici, Petersen, Ehrhart, Duda and Checa.

Entities:  

Keywords:  computer model; mechanobiology; osteochondral defect; scaffold; tissue engineering

Year:  2021        PMID: 33659244      PMCID: PMC7917217          DOI: 10.3389/fbioe.2021.642217

Source DB:  PubMed          Journal:  Front Bioeng Biotechnol        ISSN: 2296-4185


  2 in total

1.  The Degradation of Synthetic Polymeric Scaffolds With Strut-like Architecture Influences the Mechanics-dependent Repair Process of an Osteochondral Defect in Silico.

Authors:  Martina Tortorici; Ansgar Petersen; Georg N Duda; Sara Checa
Journal:  Front Bioeng Biotechnol       Date:  2022-03-10

2.  Characterizing cell recruitment into isotropic and anisotropic biomaterials by quantification of spatial density gradients in vitro.

Authors:  Martina Tortorici; Erik Brauer; Mario Thiele; Georg N Duda; Ansgar Petersen
Journal:  Front Bioeng Biotechnol       Date:  2022-08-05
  2 in total

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